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DBMS > Milvus vs. SingleStore vs. StarRocks

System Properties Comparison Milvus vs. SingleStore vs. StarRocks

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelVector DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score5.91
Rank#61  Overall
#34  Relational DBMS
Score1.12
Rank#182  Overall
#82  Relational DBMS
Websitemilvus.iowww.singlestore.comwww.starrocks.io
Technical documentationmilvus.io/­docs/­overview.mddocs.singlestore.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperSingleStore Inc.The Linux Foundation infosince Feb 2023
Initial release201920132020
Current release2.3.4, January 20248.5, January 20242.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for MilvusSingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++, GoC++, GoC++, Java
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux info64 bit version requiredLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysyes
APIs and other access methodsRESTful HTTP APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
MySQL protocol
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioninghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole based access control and fine grained access rightsFine grained access control via users, groups and rolesRole based access control and fine grained access rights
More information provided by the system vendor
MilvusSingleStore infoformer name was MemSQLStarRocks
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Customers in various industries worldwide including US and International Industry...
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Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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F ree Tier and Enterprise Edition
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More resources
MilvusSingleStore infoformer name was MemSQLStarRocks
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Recent citations in the news

Zilliz Unveils Game-Changing Features for Vector Search
22 March 2024, Datanami

What Is Milvus Vector Database?
6 October 2023, The New Stack

AI-Powered Search Engine With Milvus Vector Database on Vultr
31 January 2024, SitePoint

Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search
20 March 2024, GlobeNewswire

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31 January 2024, InfoWorld

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SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

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29 January 2024, Blocks & Files

SingleStore Accelerates Go-to-Market Strategy with AWS
5 March 2024, Business Wire

New AI features for developers in SingleStoreDB
29 January 2024, InfoWorld

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15 November 2023, ibm.com

provided by Google News

StarRocks analytical DB heads to Linux Foundation
14 February 2023, VentureBeat

StarRocks brings open source OLAP database to the cloud
14 July 2022, TechTarget

CelerData Contributes StarRocks to the Linux Foundation
14 February 2023, Datanami

StarRocks' real-time analytics engine moves to the cloud
14 July 2022, SiliconANGLE News

StarRocks launches managed DBaaS for real-time analytics
14 July 2022, InfoWorld

provided by Google News



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